{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%load_ext autoreload\n",
    "%autoreload 2\n",
    "%load_ext yamlmagic"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "from tqdm.auto import tqdm\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "import torch\n",
    "device = 'cuda' if torch.cuda.is_available() else 'cpu'\n",
    "\n",
    "# Helpful plotting functions\n",
    "import os\n",
    "os.environ['NEURITE_BACKEND'] = 'pytorch'\n",
    "import neurite as ne"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import universeg\n",
    "import scribbleprompt\n",
    "import multiverseg"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data Loader"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "torch.Size([10, 1, 128, 128]) torch.Size([10, 1, 128, 128])\n"
     ]
    }
   ],
   "source": [
    "from multiverseg.datasets.wbc import WBCDataset\n",
    "import itertools\n",
    "\n",
    "d_support = WBCDataset('JTSC', split='support', label='cytoplasm')\n",
    "d_test = WBCDataset('JTSC', split='test', label='cytoplasm')\n",
    "\n",
    "n_support = 10\n",
    "\n",
    "support_images, support_labels = zip(*itertools.islice(d_support, n_support))\n",
    "support_images = torch.stack(support_images).to(device)\n",
    "support_labels = torch.stack(support_labels).to(device)\n",
    "print(support_images.shape, support_labels.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x500 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "(<Figure size 500x500 with 4 Axes>,\n",
       " array([[<Axes: >, <Axes: >],\n",
       "        [<Axes: >, <Axes: >]], dtype=object))"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "n = 2\n",
    "ne.plot.slices(\n",
    "    [support_images[i].cpu() for i in range(n)]+\\\n",
    "    [support_labels[i].cpu() for i in range(n)],\n",
    "    grid=(2,n), width=5\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Inference Examples"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "from multiverseg.models.sp_mvs import MultiverSeg\n",
    "\n",
    "# Instantiate the model\n",
    "model = MultiverSeg(version=\"v0\")\n",
    "\n",
    "# Baselines\n",
    "from universeg import universeg\n",
    "uvs = universeg(pretrained=True).cuda()\n",
    "\n",
    "from scribbleprompt.models.unet import ScribblePromptUNet\n",
    "sp = ScribblePromptUNet(version='v1')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x250 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "(<Figure size 500x250 with 2 Axes>,\n",
       " array([<Axes: title={'center': 'Image'}>,\n",
       "        <Axes: title={'center': 'Label'}>], dtype=object))"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# select an image, label test pair\n",
    "idx = np.random.permutation(len(d_test))[0]\n",
    "image, label = d_test[idx]\n",
    "image, label = image.to(device), label.to(device)\n",
    "\n",
    "ne.plot.slices([image.cpu(), label.cpu()], width=5, titles=['Image', 'Label'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## In-Context Segmentation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x250 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "(<Figure size 1000x250 with 4 Axes>,\n",
       " array([<Axes: title={'center': 'Image'}>,\n",
       "        <Axes: title={'center': 'Label'}>,\n",
       "        <Axes: title={'center': 'UniverSeg'}>,\n",
       "        <Axes: title={'center': 'MultiverSeg'}>], dtype=object))"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# run inference\n",
    "yhat = model.predict(image[None], support_images[None], support_labels[None], return_logits=False).to('cpu')\n",
    "\n",
    "# baseline\n",
    "yhat_uvs = uvs(image[None], support_images[None], support_labels[None]).to('cpu').detach()\n",
    "yhat_uvs = torch.sigmoid(yhat_uvs).squeeze()\n",
    "\n",
    "# visualize\n",
    "ne.plot.slices([image.cpu(), label.cpu(), yhat_uvs > 0.5, yhat > 0.5], width=10, \n",
    "               titles=['Image', 'Label', 'UniverSeg', 'MultiverSeg'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Interactive Segmentation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": "\n            require(\n                [\n                    \"notebook/js/codecell\",\n                    \"codemirror/mode/yaml/yaml\"\n                ],\n                function(cc){\n                    cc.CodeCell.options_default.highlight_modes.magic_yaml = {\n                        reg: [\"^%%yaml\"]\n                    }\n                }\n            );\n            ",
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%yaml random_warm_start\n",
    "_class: scribbleprompt.interactions.prompt_generator.FlexiblePromptEmbed\n",
    "click_embed:\n",
    "  _fn: scribbleprompt.interactions.embed.click_onehot\n",
    "init_pos_click_generators:\n",
    "    - _class: scribbleprompt.interactions.clicks.RandomClick\n",
    "      train: False\n",
    "init_neg_click_generators:\n",
    "    - _class: scribbleprompt.interactions.clicks.RandomClick\n",
    "      train: False\n",
    "correction_click_generators:\n",
    "  - _class: scribbleprompt.interactions.clicks.ComponentCenterClick\n",
    "    train: False\n",
    "init_pos_click: 3\n",
    "init_neg_click: 3\n",
    "correction_clicks: 1\n",
    "prob_bbox: 0.0\n",
    "prob_click: 1.0\n",
    "from_logits: True"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "from pylot.experiment.util import eval_config\n",
    "prompt_generator = eval_config(random_warm_start)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "prompts = prompt_generator(image[None], label[None])\n",
    "clicks = {k:prompts.get(k) for k in ['point_coords', 'point_labels']}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x250 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# run inference\n",
    "yhat = model.predict(image[None], **clicks, return_logits=False).to('cpu')\n",
    "\n",
    "# baseline\n",
    "yhat_sp = sp.predict(image[None], **clicks).to('cpu')\n",
    "\n",
    "# visualize\n",
    "from scribbleprompt.analysis.plot import show_mask,show_points,show_boxes,show_scribbles\n",
    "fig,axes = ne.plot.slices([image.cpu(), label.cpu(), yhat_sp > 0.5, yhat > 0.5], width=10, \n",
    "               titles=['Image', 'Label', 'ScribblePrompt', 'MultiverSeg'], show=False)\n",
    "show_points(clicks['point_coords'].cpu(), clicks['point_labels'].cpu(), ax=axes[0])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Interactive In-Context Segmentation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x200 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "yhat = model.predict(image[None], support_images[None], support_labels[None], **clicks, return_logits=False).to('cpu')\n",
    "\n",
    "# baseline\n",
    "yhat_sp = sp.predict(image[None], **clicks).to('cpu')\n",
    "\n",
    "# visualize\n",
    "from scribbleprompt.analysis.plot import show_mask,show_points,show_boxes,show_scribbles\n",
    "fig,axes = ne.plot.slices([image.cpu(), label.cpu(), yhat_sp > 0.5, yhat_uvs > 0.5, yhat > 0.5], width=10, \n",
    "               titles=['Image', 'Label', 'ScribblePrompt', 'UniverSeg', 'MultiverSeg'], show=False)\n",
    "show_points(clicks['point_coords'].cpu(), clicks['point_labels'].cpu(), ax=axes[0])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Multi-round Inference"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "# run inference\n",
    "yhat = model.predict(image[None], support_images[None], support_labels[None], return_logits=True).to('cpu')\n",
    "\n",
    "# Simulate corrections\n",
    "corrections = prompt_generator.subsequent_prompt(\n",
    "    # to use as an input to the model in the next iteration\n",
    "    mask_pred = yhat.cuda(),\n",
    "    # to use for calculating error region & sampling interactions\n",
    "    binary_mask_pred = (yhat.cuda()>0).int(),\n",
    "    prev_input = prompts\n",
    ")\n",
    "correction_clicks = {k:prompts.get(k) for k in ['point_coords', 'point_labels', 'mask_input']}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x300 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Run inference\n",
    "yhat2 = model.predict(image[None], support_images[None], support_labels[None], **correction_clicks, return_logits=False).to('cpu')\n",
    "\n",
    "# visualize\n",
    "from scribbleprompt.analysis.plot import show_mask,show_points,show_boxes,show_scribbles\n",
    "fig,axes = ne.plot.slices([image.cpu(), label.cpu(), yhat > 0.5, yhat2 > 0.5], width=12, \n",
    "               titles=['Image', 'Label', 'MultiverSeg (step 0)', 'MultiverSeg (step 1)'], show=False)\n",
    "show_points(correction_clicks['point_coords'].cpu(), correction_clicks['point_labels'].cpu(), ax=axes[0])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "sp_test",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.14"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
